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Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06)
Development of a New Method for Data Mining Based Rough Set Theory
Hong Kong, China
December 18-December 22
ISBN: 0-7695-2702-7
Jianjun Hao, University of Hebei, China
Huiping Li, University of Hebei, China
Jihua Huang, University of science and technology Beijing
Jiangang Zhang, University of science and technology Beijing
In the paper, a kind of expanding model of Rough Set, which is with membership grade degree and contribution was presented after lucubrating the deficiencies of the theory of traditional Rough Set. In this model, the information system with membership grade and contribution, the processing of noises, similar space partition, the dependency grade calculation of decision attribute on condition one, attribute reduction algorithm, mining process of interconnected rule were discussed.
Citation:
Jianjun Hao, Huiping Li, Jihua Huang, Jiangang Zhang, "Development of a New Method for Data Mining Based Rough Set Theory," icdmw, pp.311-314, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006
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